Scientific and historic institutions
SBL has helped major institutions make complex records and specimens searchable, governable and usable for future research and AI-enabled access.
8M specimens - 99.5% accuracy programmes
AI-ready knowledge systems
Publishing & Historic Research - turn institutional memory into governed intelligence.
AI-enabled knowledge systems for archives, research bodies, publishers and cultural institutions where provenance and accuracy matter.
The vertical
Preservation is now an intelligence problem.
Cultural, research and publishing institutions hold knowledge that must be preserved, governed, accessed and used by future systems.
SBL helps convert fragile, multilingual and historically complex holdings into secure, searchable, AI-ready knowledge systems without losing provenance.
What we deliver
From collection to knowledge system.
AI-ready systems for institutions where provenance, citation and access matter.
01
AI-ready archives
Convert complex holdings into secure, searchable and governed knowledge systems.
02
Handwriting and script intelligence
Support for non-English, non-Latin, damaged and historic material.
03
Citation and provenance control
Preserve source relationships, context and evidence across the knowledge layer.
04
Image and object intelligence
Connect photos, specimens, records and metadata.
05
Research access systems
Search and retrieval layers for scholars, institutions and public access.
06
Publishing workflow intelligence
Editorial, content and metadata systems for knowledge publishers.
Where we fit
Where preservation, provenance and AI-readiness have to coexist.
SBL fits archives, publishers and research bodies that need complex collections to become searchable, governed and useful for future AI access.
Archives
Fragile and historic records
Convert damaged, handwritten, multilingual or non-standard records without losing source context.
Research access
Searchable knowledge layers
Create retrieval systems that preserve citation, provenance and institutional control.
Objects
Specimen and image metadata
Connect physical objects, images, labels, taxonomy and descriptive records.
Publishing workflows
Metadata and editorial intelligence
Structure content, rights, references and production metadata for reuse.
Operating pattern
From collection to governed knowledge system.
The work protects source context while making records usable for research, publication and AI-enabled access.
01Assess
Profile formats, languages, scripts, condition, metadata depth and access needs.
02Digitize
Capture, transcribe, classify and enrich records with quality controls.
03Link
Preserve relationships between source images, objects, records, people, places and citations.
04Serve
Deliver searchable knowledge systems, datasets or AI-ready corpora with governance.
Proof in production
Large-scale knowledge systems where accuracy and provenance mattered.
80MNorwegian census records
99.5%Accuracy across programmes
8MSpecimens in one institution
100M+Records across UK census projects
Related proof
Case studies from similar operating environments.
Herbarium
Herbarium collections transformed into AI-ready scientific knowledge
Specimen records and images converted into machine-readable scientific data.
Read case study -> ArchivesParish records unlocked as searchable ancestry intelligence
Historic records transformed into searchable knowledge with provenance.
Read case study -> MediaMedia archives converted into searchable institutional knowledge
Complex media holdings made searchable and usable for institutional access.
Read case study ->Need to make a complex collection AI-ready?
We will scope the knowledge system around preservation, access, provenance and governance.